Engineering
Phase Retrieval
88%
Point Cloud
66%
Experimental Result
38%
State-of-the-Art Method
38%
Effective Field
33%
Independent Constraint
33%
Defect Detection
33%
Color Coding
33%
Phase Modulation
33%
Deep Learning Method
33%
Image Inpainting
33%
Diffuse Reflection
33%
Image Coordinate
33%
Blade Profile
33%
Missing Phase
33%
Light Field
33%
Phase Error
33%
Epipolar Constraint
33%
Minimal Solution
33%
Instrument Calibration
33%
Image Intensity
27%
System Parameter
26%
Phase Shift
24%
Finish Machining
22%
Single High
16%
Traditional Camera
16%
Posed Problem
16%
Specular Reflection
16%
Captured Image
16%
Frequency Shift
16%
Multiple View
16%
Daily Life
16%
Principal Point
16%
Priori Assumption
16%
Main Step
11%
Relative Phase
11%
Sampling Theorem
11%
Convolutional Neural Network
11%
Detection Performance
11%
Limitations
11%
Temporal Information
11%
Code Space
11%
Signal-to-Noise Ratio
11%
Rigid Transformation
11%
Combined Method
11%
Fits and Tolerances
11%
Cross Section
11%
Image Formation
11%
Machining Parameter
11%
Registration Method
11%
Computer Science
Point Cloud
100%
Fringe Pattern
66%
Experimental Result
50%
3d Reconstruction
44%
Information Retrieval
33%
Pose Estimation
33%
View Information
33%
Minimal Solution
33%
Subsequent Iteration
33%
Upsampling
33%
Structured Light
33%
Registration Error
22%
Popular Approach
16%
Constant Frequency
16%
Relative Phase
16%
Sampling Theorem
16%
Nyquist Frequency
16%
Robust Approach
16%
Gaussian White Noise
16%
Sampling Approach
16%
Point Sampling
16%
Linear Problem
16%
Rigid Transformation
11%
Experimental Dataset
11%
Generation Matrix
11%
Image Formation
11%
Image Intensity
8%
Phase Ambiguity
8%
Captured Image
8%
